Autonomous Vehicles
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Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wangdongdut/dut-anti-uav
https://github.com/wangxianhao/Improved-YOLOv3-for-UAV
https://github.com/wangyuan249/Mymmt767
https://github.com/wangzpeng/tf-faster-rcnn
https://github.com/wasilone11/ICPR-RIP-2024
https://github.com/waterdisappear/nudt4mstar
https://github.com/waymo-research/waymax
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
https://github.com/wdlctc/darknet
https://github.com/wenkaip-1836890/pyromid_l5prediction
One Thousand and One Hours: Self-driving Motion Prediction Dataset
https://github.com/wennieWN/endernewton_tf-faster-rcnn
https://github.com/wenxinxu/resnet-in-tensorflow
https://github.com/wenxinxu/resnet_in_tensorflow
https://github.com/wenyuqing/panacea
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
https://github.com/wenyyu/Image-Adaptive-YOLO
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch
https://github.com/westny/neural-stability
Which priors matter? Benchmarking models for learning latent dynamics
https://github.com/wikke/Tianchi-Medical-LungTumorDetect
https://github.com/williamccondori/YOLO-NFPA
https://github.com/willsharpless/deepreach
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
https://github.com/wind754203900/SCNN-TF2
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
https://github.com/windwithforce/lane-detection
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/winycg/MCL-OKD
https://github.com/witwickey/alexeyDarknet
https://github.com/witwickey/darknet
https://github.com/wjy199708/my_point_painting
https://github.com/wlawt/capsnet-trafficsigns
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
https://github.com/wodyjowski/colab-training
https://github.com/wondonghyeon/protest-detection-violence-estimation
https://github.com/wonseok-Jang/rtod_darknet
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving
https://github.com/woosoojin/final
https://github.com/worldlife123/maskrcnn-benchmark
https://github.com/wrappr/wrappr-core
https://github.com/wslerry/yolov5
https://github.com/wsmlby/darknetnano
https://github.com/wuqiyao20160118/mini_project-for-CIFAR10
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.